Machine Learning Engineer

About Cognitive GeoInterpretation: CGI is a Tallahassee, FL based startup that is working to solve seismic imaging problems using recently emerging AI techniques. Specifically, we work on the intersection of compression, deep neural networks, and a computational engine that leverages both the cloud and the browser. You can view our work here: https://interpretation.ai/.

Where: Tallahassee, FL (relocation reimbursement up to $4,500)

Reqs: PhD in Computer Science. MS with Thesis/experience will also be considered.

           Authorized to work in the US 

Responsibilities

• Algorithm Development and Model Training: Design, develop, and implement machine learning algorithms and models for interpretation.ai
• Data Preprocessing: Clean, preprocess, and transform raw data into suitable format for training models. Conduct feature engineering to extract relevant information and improve model performance
• Model Evaluation and Validation: Perform rigorous evaluation of models using appropriate metrics and validation techniques to ensure robust performance. Implement techniques like cross-validation and hyperparameter tuning for model optimization
• Deployment and Integration
• Monitoring and Maintenance
• Data Pipeline Management
• Collaboration with Data Scientist, Engineers, and Geoscientists
• Research and Innovation: Stay up-to-date with the latest advancements in machine learning and related fields. Experiment with cutting-edge techniques and algorithms to enhance model performance. Continuous learning and skill development
• Documentation and Reporting
• Security and Compliance

Educational Responsibilities

• In this role, you would be responsible for curriculum development of an CS/ML curriculum to educate beginner students. 
• This would be between 4-8 hours of your work per week

Skills

• In-depth knowledge of various machine learning algorithms, such as regression, classification, clustering, and deep learning techniques
• Hands on experience with Python
• Knowledge of software development principles, familiarity with tools like Git for version control, and the ability to write clean, maintainable code
• Deployment and Productionizaiton- skills in deploying models into production environments, containerization (e.g. Docker), and basic knowledge of platforms like AWS, GCP, or Azure
• Familiarity with Databases and data manipulation tools like SQL or NoSQL databases
• Excellent analytical and time management skills
• Teamwork skills with a problem-solving attitude

Technology Stack Requirements: 

• Python
• PyTorch
• Linux Systems Administration
• Git
• Deep Learning 
• Docker
• Optional: Pytorch Lightning

Benefits:

• PTO and holiday plan
• Health insurance
• Equity Incentive Plan
• Salary commensurate with ability
• We sponsor H1s for students on OPT with relevant experience